get_service
Get full details of one service: price, unit, turnaround and deliverable format.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| service_id | Yes |
Get full details of one service: price, unit, turnaround and deliverable format.
| Name | Required | Description | Default |
|---|---|---|---|
| service_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden; 'Get' implies a safe read, and the field list hints at the response shape. It does not disclose behavior for an unknown/expired service_id, whether the record is public or seller-scoped, or any auth requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler; every listed field (price, unit, turnaround, deliverable format) adds information about what 'full details' means.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read tool with no output schema, the field enumeration partially substitutes for return-value documentation. However, with no annotations and an undocumented ID parameter, key call-time details (ID format, not-found behavior) are missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is one required parameter (service_id) with 0% schema description coverage, and the description says nothing about its format, source, or validity constraints. The description does not compensate for the gap, leaving the agent to guess what an ID looks like.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a clear verb+resource ('Get full details of one service') and enumerates the fields returned (price, unit, turnaround, deliverable format), which distinguishes it from the sibling search_services list tool. It stops short of explicitly saying it requires a known service_id versus a search flow, so it isn't fully self-differentiating.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
'one service' implies a known-ID lookup rather than a browse, which implicitly separates it from search_services, but no explicit when-to-use, prerequisites, or named alternative is given. Usage is inferable but not guided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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